Physcology is the scientific study of our thought patterns, feelings and behaviour.
The scientific method consists of the steps: Identify, research, design, collect and analyse, interpret, report, and replicate.
A correlational study measures the extent to which two variables are related
An r-value indicates the strength and direction of a relationship between two variables. The closer the r-value is to -1 or 1, the stronger the relationship. Direction is indicated by whether the value is positive or negative.
Formula for mean: sum of values / number of values
Formula for median: N + 1 / 2 (the middle value in an ordered dataset)
Mode is the most common value in a set of data. It is the value that occurs most frequently.
Standard deviation is a measure of howfar a typical data point lies from the mean. The greater the standard deviation, the greater the variability in the data.
Standard error reveals how accurately sample data represents the whole population, it is used in error bars.
Range formula: highest value - lowest value.
Interquartile range formula: Q3 - Q1
Q1 and Q3: number of values + 2 / 4 (even), number of values + 1 / 4 (odd)
Outliers formula: Q1 - (1.5 x IQR) Q3 + (1.5 x 1QR)
A p-value less than 0.05 indicates that the results are statistically significant as there is only a 5% chance or less that the results are due to chance. If this is the case, it rejects the null hypothesis
Error bars are added to graphs to determine whether there is a significant difference between the means of the groups tested, error bars represent standard error.
If error bars overlap, there is considered to be no significant difference between the groups. If error bars don't overlap, there is a significant difference between the groups.
A nullhypothesis states that there will be no difference in the dependent variable as a result of the independent variable.
Experimental Designs: Independent groups (each group is exposed to a differentcondition), repeated measures (participants complete bothconditions), and matched participants (participants are matched with another who has similarabilities, they are then split into either condition).
Right to Withdrawal: Participants should have the right to withdraw from an investigation at any time, with no further obligations.
Debriefing: The researcher must inform participants about the true nature of the experiment once it is over. This can include explaining why certain aspects were included, what was being measured, etc.
Confidentiality: All data collected during the experiment must remain confidential unless consent is given otherwise by the participant.
Informed Consent: Participants must fully understand the purpose of the experiment, what their involvement entails, and how their information may be used. They must also give voluntary consent, without pressurisation.
Benefitiancy (do no harm): Research should benefit patients and their welfare while minimising risk.
Justice: Researchers should ensure that all individuals involved in the research receive equal treatment regardless of race, gender or social class.